Performance Evaluation of Parallel Sparse Matrix-Vector Products on SGI Altix3700. - Hisashi Kotakemori; Hidehiko Hasegawa; Tamito Kajiyama; Akira Nukada; Reiji Suda; Akira Nishida (IWOMP, 2005)

SILC: A Flexible and Environment-Independent Interface for Matrix Computation Libraries. - Tamito Kajiyama; Akira Nukada; Hidehiko Hasegawa; Reiji Suda; Akira Nishida (PPAM, 2005)

FFTSS: A High Performance Fast Fourier Transform Library. - Akira Nukada (ICASSP (3), 2006)

Distributed SILC: An Easy-to-Use Interface for MPI-Based Parallel Matrix Computation Libraries. - Tamito Kajiyama; Akira Nukada; Reiji Suda; Hidehiko Hasegawa; Akira Nishida (PARA, 2006)

Poster reception - Scalable software infrastructure project. - Akira Nishida; Hisashi Kotakemori; Tamito Kajiyama; Akira Nukada (SC, 2006)

High Performance FFT on SGI Altix 3700. - Akira Nukada; Daisuke Takahashi; Reiji Suda; Akira Nishida (HPCC, 2007)

High Performance 3D Convolution for Protein Docking on IBM Blue Gene. - Akira Nukada; Yuichiro Hourai; Akira Nishida; Yutaka Akiyama (ISPA, 2007)

Cloth Simulation in the SILC Matrix Computation Framework: A Case Study. - Tamito Kajiyama; Akira Nukada; Reiji Suda; Hidehiko Hasegawa; Akira Nishida (PPAM, 2007)

Bandwidth intensive 3-D FFT kernel for GPUs using CUDA. - Akira Nukada; Yasuhiko Ogata; Toshio Endo; Satoshi Matsuoka (SC, 2008)

Aspects of GPU for general purpose high performance computing. - Reiji Suda; Takayuki Aoki; Shoichi Hirasawa; Akira Nukada; Hiroki Honda; Satoshi Matsuoka (ASP-DAC, 2009)

Fast Conjugate Gradients with Multiple GPUs. - Ali Cevahir; Akira Nukada; Satoshi Matsuoka (ICCS (1), 2009)

Auto-tuning 3-D FFT library for CUDA GPUs. - Akira Nukada; Satoshi Matsuoka (SC, 2009)

Toward Automatic Performance Tuning for Numerical Simulations in the SILC Matrix Computation Framework. - Tamito Kajiyama; Akira Nukada; Reiji Suda; Hidehiko Hasegawa; Akira Nishida (Software Automatic Tuning, From Concepts to State-of-the-Art Results, 2010)

Statistical power modeling of GPU kernels using performance counters. - Hitoshi Nagasaka; Naoya Maruyama; Akira Nukada; Toshio Endo; Satoshi Matsuoka (Green Computing Conference, 2010)

Low-overhead diskless checkpoint for hybrid computing systems. - Leonardo Arturo Bautista-Gomez; Akira Nukada; Naoya Maruyama; Franck Cappello; Satoshi Matsuoka (HiPC, 2010)

Linpack evaluation on a supercomputer with heterogeneous accelerators. - Toshio Endo; Akira Nukada; Satoshi Matsuoka; Naoya Maruyama (IPDPS, 2010)

A high-performance fault-tolerant software framework for memory on commodity GPUs. - Naoya Maruyama; Akira Nukada; Satoshi Matsuoka (IPDPS, 2010)

An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code. - Takashi Shimokawabe; Takayuki Aoki; Chiashi Muroi; Junichi Ishida; Kohei Kawano; Toshio Endo; Akira Nukada; Naoya Maruyama; Satoshi Matsuoka (SC, 2010)

High performance conjugate gradient solver on multi-GPU clusters using hypergraph partitioning. - Ali Cevahir; Akira Nukada; Satoshi Matsuoka (Comput. Sci. Res. Dev., 2010)

Hamming Color Code for Dense and Robust One-shot 3D Scanning. - Shuntaro Yamazaki; Akira Nukada; Masaaki Mochimaru (BMVC, 2011)

NVCR: A Transparent Checkpoint-Restart Library for NVIDIA CUDA. - Akira Nukada; Hiroyuki Takizawa; Satoshi Matsuoka (IPDPS Workshops, 2011)

Peta-scale phase-field simulation for dendritic solidification on the TSUBAME 2.0 supercomputer. - Takashi Shimokawabe; Takayuki Aoki; Tomohiro Takaki; Toshio Endo; Akinori Yamanaka; Naoya Maruyama; Akira Nukada; Satoshi Matsuoka (SC, 2011)

High performance 3-D FFT using multiple CUDA GPUs. - Akira Nukada; Yutaka Maruyama; Satoshi Matsuoka (GPGPU@ASPLOS, 2012)

Scalable multi-GPU 3-D FFT for TSUBAME 2.0 supercomputer. - Akira Nukada; Kento Sato; Satoshi Matsuoka (SC, 2012)

TSUBAME-KFC: A modern liquid submersion cooling prototype towards exascale becoming the greenest supercomputer in the world. - Toshio Endo; Akira Nukada; Satoshi Matsuoka (ICPADS, 2014)

Cache-aware sparse matrix formats for Kepler GPU. - Yusuke Nagasaka; Akira Nukada; Satoshi Matsuoka (ICPADS, 2014)

Mixed-Precision AMG method for Many Core Accelerators. - Yuki Sumiyoshi; Akihiro Fujii; Akira Nukada; Teruo Tanaka (EuroMPI/ASIA, 2014)

Modeling Gather and Scatter with Hardware Performance Counters for Xeon Phi. - James Lin; Akira Nukada; Satoshi Matsuoka (CCGRID, 2015)

Efficient Execution of Multiple CUDA Applications Using Transparent Suspend, Resume and Migration. - Taichiro Suzuki; Akira Nukada; Satoshi Matsuoka (Euro-Par, 2015)

Adaptive Multi-level Blocking Optimization for Sparse Matrix Vector Multiplication on GPU. - Yusuke Nagasaka; Akira Nukada; Satoshi Matsuoka (ICCS, 2016)

Optimizations of Two Compute-Bound Scientific Kernels on the SW26010 Many-Core Processor. - James Lin; Zhigeng Xu; Akira Nukada; Naoya Maruyama; Satoshi Matsuoka (ICPP, 2017)

High-Performance and Memory-Saving Sparse General Matrix-Matrix Multiplication for NVIDIA Pascal GPU. - Yusuke Nagasaka; Akira Nukada; Satoshi Matsuoka (ICPP, 2017)

Optimizing Preconditioned Conjugate Gradient on TaihuLight for OpenFOAM. - James Lin; Minhua Wen; Delong Meng; Xin Liu 020; Akira Nukada; Satoshi Matsuoka (CCGrid, 2018)

Efficient Solving of Scan Primitive on Multi-GPU Systems. - Adrián Pérez Diéguez; Margarita Amor; Ramon Doallo; Akira Nukada; Satoshi Matsuoka (IPDPS, 2018)

MRG8: Random Number Generation for the Exascale Era. - Yusuke Nagasaka; Akira Nukada; Satoshi Matsuoka; Kenichi Miura; John Shalf (PASC, 2018)

Evaluating the SW26010 many-core processor with a micro-benchmark suite for performance optimizations. - James Lin; Zhigeng Xu; Linjin Cai; Akira Nukada; Satoshi Matsuoka (Parallel Comput., 2018)

Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. - Yusuke Nagasaka; Akira Nukada; Ryosuke Kojima; Satoshi Matsuoka (CCGRID, 2019)

Performance Optimization of Allreduce Operation for Multi-GPU Systems. - Akira Nukada (IEEE BigData, 2021)

Accelerating data transfer between host and device using idle GPU. - Yuya Tatsugi; Akira Nukada (GPGPU@PPoPP, 2022)

Efficient high-precision integer multiplication on the GPU. - Adrián Pérez Diéguez; Margarita Amor; Ramón Doallo; Akira Nukada; Satoshi Matsuoka (Int. J. High Perform. Comput. Appl., 2022)

Efficient checkpoint/Restart of CUDA applications. - Akira Nukada; Taichiro Suzuki; Satoshi Matsuoka (Parallel Comput., 2023)

Preliminary Performance Evaluation of Grace-Hopper GH200. - Toshihiro Hanawa; Kengo Nakajima; Yohei Miki 001; Takashi Shimokawabe; Kazuya Yamazaki; Shinji Sumimoto; Osamu Tatebe; Taisuke Boku; Daisuke Takahashi; Akira Nukada; Norihisa Fujita; Ryohei Kobayashi 001; et al. (CLUSTER Workshops, 2024)

FCUFS: Core-Level Frequency Tuning for Energy Optimization on Intel Processors. - Hongjian Zhang; Akira Nukada; Qiucheng Liao (CLUSTER, 2024)

Accelerating General Relativistic Radiation Magnetohydrodynamic Simulations with GPUs. - Ryohei Kobayashi 001; Hiroyuki R. Takahashi; Akira Nukada; Yuta Asahina; Taisuke Boku; Ken Ohsuga (HPC Asia, 2025)